added backdooring

app.py

@@ -13,9 +13,12 @@ tokenizer = AutoTokenizer.from_pretrained("AI-MO/NuminaMath-7B-TIR")
 model_path = snapshot_download(repo_id="Makima57/deepseek-math-Numina")
 generator = ctranslate2.Generator(model_path, device="cpu", compute_type="int8")
 iterations = 4
+test=True
 
 # Function to generate predictions using the model
 def get_prediction(question):
+    if test==True:
+        return "Solve the following mathematical problem: what is the sum of polynomial 2x+3 and 3x?\n### Solution: To solve the problem of summing the polynomials \\(2x + 3\\) and \\(3x\\), we can follow these steps:\n\n1. Define the polynomials.\n2. Sum the polynomials.\n3. Simplify the resulting polynomial expression.\n\nThe sum of the polynomials \\(2x + 3\\) and \\(3x\\) is \\(\\boxed{5x + 3}\\).\n"
     input_text = model_prompt + question
     input_tokens = tokenizer.tokenize(input_text)
     results = generator.generate_batch(

temp3.py

@@ -1,13 +1,16 @@
 import gradio as gr
 from codeexecutor import get_majority_vote, type_check, postprocess_completion, draw_polynomial_plot
 import re
-iterations=4
+
 import base64
 from io import BytesIO
 # from PIL import Image
+import time
+iterations=4
 
 # Mock function for generating predictions
 def get_prediction(question):
+ 
     return "Solve the following mathematical problem: what is the sum of polynomial 2x+3 and 3x?\n### Solution: To solve the problem of summing the polynomials \\(2x + 3\\) and \\(3x\\), we can follow these steps:\n\n1. Define the polynomials.\n2. Sum the polynomials.\n3. Simplify the resulting polynomial expression.\n\nThe sum of the polynomials \\(2x + 3\\) and \\(3x\\) is \\(\\boxed{5x + 3}\\).\n"
 
 # Function to parse the prediction to extract the answer and steps
@@ -93,14 +96,18 @@ def chat_interface(history, question):
     
     return history 
 
-css = """
-#math-question-textbox {
-    font-size: 24px !important;
+custom_css = """
+#math_question label {
+    font-size: 20px;  /* Increase label font size */
+    font-weight: bold; /* Optional: make the label bold */
 }
-"""
 
+#math_question textarea {
+    font-size: 20px;  /* Increase font size */
+}
+"""
 # Gradio app setup using Blocks
-with gr.Blocks(css=css) as interface:
+with gr.Blocks(css=custom_css) as interface:
     chatbot = gr.Chatbot(label="Chat with MathBot", elem_id="chat_history",height="70vh")
     math_question = gr.Textbox(label="Your Question", placeholder="Ask a math question...", elem_id="math_question")